Songtao Lu
Orcid: 0000-0001-9256-9648
According to our database1,
Songtao Lu
authored at least 118 papers
between 2004 and 2024.
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Bibliography
2024
Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization.
Comput. Optim. Appl., January, 2024
Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis.
CoRR, 2024
Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity.
CoRR, 2024
Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization.
CoRR, 2024
2023
Waveform Design and Optimization for Integrated Visible Light Positioning and Communication.
IEEE Trans. Commun., September, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
CoRR, 2023
FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models.
CoRR, 2023
CoRR, 2023
A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition.
CoRR, 2023
On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities.
Proceedings of the Twenty-fourth International Symposium on Theory, 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning.
Proceedings of the International Conference on Machine Learning, 2023
Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
IEEE Trans. Wirel. Commun., 2022
An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization.
ACM Trans. Intell. Syst. Technol., 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks.
Proceedings of the MobiHoc '22: The Twenty-third International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing, Seoul, Republic of Korea, October 17, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization.
Proceedings of the International Conference on Machine Learning, 2022
Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Signal Process., 2021
IEEE Trans. Inf. Forensics Secur., 2021
Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective.
CoRR, 2021
Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition.
CoRR, 2021
Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning.
Proceedings of the IEEE International Conference on Acoustics, 2021
On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems.
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Wirel. Commun. Mob. Comput., 2020
Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications.
IEEE Trans. Signal Process., 2020
Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
IEEE Signal Process. Mag., 2020
Distributed Learning in the Nonconvex World: From batch data to streaming and beyond.
IEEE Signal Process. Mag., 2020
Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances.
CoRR, 2020
CoRR, 2020
Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond.
CoRR, 2020
Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking.
Proceedings of the 37th International Conference on Machine Learning, 2020
Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 54th Annual Conference on Information Sciences and Systems, 2020
2019
Capacity Bounds and Interference Management for Interference Channel in Visible Light Communication Networks.
IEEE Trans. Wirel. Commun., 2019
Spatial Transmitter Density Allocation for Frequency-Selective Wireless Ad Hoc Networks.
IEEE Trans. Wirel. Commun., 2019
Optimal Power Allocation for Mobile Users in Non-Orthogonal Multiple Access Visible Light Communication Networks.
IEEE Trans. Commun., 2019
Training Optimization and Performance of Single Cell Uplink System With Massive-Antennas Base Station.
IEEE Trans. Commun., 2019
Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems.
CoRR, 2019
CoRR, 2019
Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach.
CoRR, 2019
Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML.
CoRR, 2019
SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems.
CoRR, 2019
Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics.
IEEE Access, 2019
Signal Demodulation With Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms.
IEEE Access, 2019
PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019
Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems.
Proceedings of the IEEE International Conference on Acoustics, 2019
Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications.
Proceedings of the IEEE International Conference on Acoustics, 2019
Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point.
Proceedings of the IEEE International Conference on Acoustics, 2019
GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization.
Proceedings of the IEEE Data Science Workshop, 2019
Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
2018
On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions.
CoRR, 2018
Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing.
IEEE Access, 2018
Proceedings of the IECON 2018, 2018
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018
2017
A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality.
IEEE Trans. Signal Process., 2017
Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms.
IEEE Access, 2017
Proceedings of the 13th IEEE International Symposium on Autonomous Decentralized System, 2017
Proceedings of the 2017 IEEE Industry Applications Society Annual Meeting, 2017
Proceedings of the Geo-Spatial Knowledge and Intelligence - 5th International Conference, 2017
A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
H-PMHT track-before-detect processing with DP-based track initiation and termination.
IET Signal Process., 2016
Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization.
CoRR, 2016
Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test.
Sci. China Inf. Sci., 2016
Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering.
Proceedings of the 2016 IEEE Global Conference on Signal and Information Processing, 2016
2015
Throughput of Underwater Wireless Ad Hoc Networks With Random Access: A Physical Layer Perspective.
IEEE Trans. Wirel. Commun., 2015
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015
Joint optimization of power allocation and training duration for uplink multiuser MIMO communications.
Proceedings of the 2015 IEEE Wireless Communications and Networking Conference, 2015
Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015
Accelerated algorithms for Eigen-Value Decomposition with application to spectral clustering.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015
2014
Achievable Rates and Training Optimization for Uplink Multiuser Massive MIMO Systems.
CoRR, 2014
Proceedings of the IEEE Global Communications Conference, 2014
2013
IEEE Trans. Commun., 2013
Proceedings of the Conference on Underwater Networks and Systems, 2013
2012
An Optimized Cooperative Transmission Scheme for Interference Mitigation in Heterogeneous Downlink Network.
Proceedings of the 76th IEEE Vehicular Technology Conference, 2012
A distributed adaptive GSC beamformer over coordinated antenna arrays network for interference mitigation.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012
2010
A multipath mitigation algorithm in Global Navigation Satellite Systems arrays using Independent Component Analysis.
Proceedings of the IEEE International Conference on Wireless Communications, 2010
A Wideband Space Time Statistical Model for Characterization of Satellite Communication Channel in Dense Multipath Environment.
Proceedings of the 71st IEEE Vehicular Technology Conference, 2010
Proceedings of the 71st IEEE Vehicular Technology Conference, 2010
2006
Application of SVD-Based Metabolite Quantification Methods in Magnetic Resonance Spectroscopic Imaging.
Proceedings of the Medical Imaging and Augmented Reality, 2006
2004
Proceedings of the Medical Imaging and Augmented Reality: Second International Workshop, 2004